Litcius/Paper detail

7-M/130-Mbps LED-to-LED Underwater Wireless Optical Communication Based on Arrays of Series-Connected LEDs and a Coaxial Lens Group

Xingqi Yang, Zhijian Tong, Hao Zhang, Yufan Zhang, Yizhan Dai, Chao Zhang, Xiao Chen, Jing Xu

2022Journal of Lightwave Technology17 citationsDOI

Abstract

In this paper, the arrays consist of series-connected monochromatic light-emitting diodes (LEDs) are proposed as the transmitter and receiver to implement an LED-to-LED underwater wireless optical communication (UWOC) system. An array of green LEDs is used as the transmitter to enhance the emitted optical power, and the high-frequency attenuation of the LEDs is compensated by a pre-equalization circuit. Red LEDs are connected in series, forming an array as the detector to extend the bandwidth of the receiver. Furthermore, a lens group for homogenizing and focusing the light spot is designed to increase optical power-density at the plane of detector, thus significantly enhancing the signal-to-noise ratio (SNR) of the captured signal. The proposed array with 3 series-connected red LEDs can increase the data rate by 22.2 % compared with a single red LED. An LED-to-LED UWOC system with a data rate of 130 Mbps over a 7-m underwater channel is realized with a BER lower than the forward error correction (FEC) threshold of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$3.8\times 10^{-3}$</tex-math></inline-formula> . To the best of our knowledge, this is the first time that the series-connected LEDs as the detector, combining with a lens group for homogenization and focusing, are applied in an LED-to-LED UWOC system, which achieve the highest rate-distance product among the reported LED detection-based wireless optical communication (WOC) systems.

Topics & Concepts

Light-emitting diodeVisible light communicationOpticsTransmitterDetectorPhysicsComputer scienceTelecommunicationsChannel (broadcasting)Optical Wireless Communication TechnologiesUnderwater Vehicles and Communication SystemsImage Enhancement Techniques